AI智能总结
Leaders’ perspectives on technology Christel HeydemannOrange Group in discussion with The CEO Corner Aiman EzzatCEO, Capgemini Christel HeydemannCEO, Orange Group Christel began her career in 1999 at Alcatel,where she held various managementpositions. In 2011, she was promoted With more than 20 years’ experienceat Capgemini, Aiman Ezzat has a deepknowledge of the Group’s main businesses. Christel Heydemann joined SchneiderElectric in 2014. In 2017, she becameExecutive Director France Operationsof Schneider Electric and member ofSchneider Electric’s Executive Committee. Aiman was appointed CEO in May 2020.Prior to that, from 2018 to 2020, he servedas the Group’s COO and, from 2012 to2018, as CFO. Aiman is also on the Boardof Directors of Air Liquide and is a member She is a graduate of École Polytechniqueand École Nationale des Ponts etChaussées. Christel is an Officer of the Emerging Tech and AI Which emerging technology trends are you most excited about? — Christel:Quantum technologies are extremely exciting, especially when it comes tocybersecurity. For example, using quantum key distribution [QKD] to better protect data. AI isn’t new, but the speed at which it’s evolving – especiallywhen combined with advances such as quantum computing– makes it truly disruptive. I’m particularly excited about howAI could accelerate progress in other fields of science, fromphysics to drug discovery and healthcare. In fact, I don’t think AI could help ussolve humanity’sbig challenges" — Aiman:Generative AI [Gen AI] and agentic AI are at the forefront. AI is evolving fromcopilots to autonomous, reasoning agents capable of orchestrating complex tasks acrosssupply chains, predictive maintenance, and customer engagement. This shift will enable new Second, large language models (LLMs)are transforming robotic capabilities tonear-human levels and surpassing humancapabilities in some tasks. Next-gen robots Next-gen robotscan handle complex,interconnected tasks,improve decision- Third, there’s growing interest insustainability-focused innovation. AI is notonly transforming industries but also drivingthe resurgence of clean energy sources, such Aiman Ezzat Where do you see AI and, in particular, Gen AI having the — Aiman:Agentic AI represents a new frontier of digital transformation,accelerating efficiency and value creation by automating highly variableprocesses that traditional technologies cannot automate. I believe AI agentscan transform the way in which businesses operate. Successful enterpriseoperations require AI agents working seamlessly with humans, under humancontrol. I like to call this human-AI chemistry. We see Gen AI assistants and In the short term, the most promising fields are business process operationswith agentic AI workers for hyper-automated operations 24/7; go-to-market, with enhanced customer targeting, experiences, and interactions;IT, as in software development with coding assistants and agents; testing — Christel:AI has already had a huge impact at consumer level.Interestingly, a lot of that usage today is for fairly simple things, like getting In the professional world, one of the biggest impacts we see right now is insoftware development. AI coding assistants are speeding up programming,and that affects many tech companies. At Orange, it’s also changing howwe work by bringing a lot of efficiency in-house. AI makes a difference inalmost every routine process, from automating fraud detection in banking I also see great potential for AI to be used as a personal coach or assistantfor employees. Think of an AI mentor that helps you learn new skills ornavigate challenges at work, at your own pace. Today, if you want to upskill,you might take a course or ask a manager – and sometimes people feel shyor judged in those situations. But an AI tool is completely non-judgmental. I also see great potential for AI to beused as a personal coach or assistant for Christel Heydemann The CEO Corner What do you think is the biggest hurdle to scaling AI? — Aiman:It’s not the technology. It’s trust, governance, and organizational While most organizationshave moved beyondpilots, only 9% havesuccessfully deployedGen AI across multiplefunctions/locations. Thishighlights the challenge in The portion oforganizationsthat trust in fully Aiman Ezzat "Scaling AI is lessabout algorithmsand more aboutbuilding trust,governance, and aculture ready for Aiman Ezzat 27% in the past year, and many have yet to put in place robust governanceframeworks. This lack of trust and governance slows adoption and creates The data foundation is also critical. AI-at-scale leaders rank improving dataquality and accessibility as the number-one enabler of success. Withoutstrong data governance, hybrid cloud architectures, and democratized Finally, human-AI collaboration and cultural transformation are oftenunderestimated. In the short to medium term organizations will have AIagents working within human teams. Blended te